Model Comparison
GPT-4
vs. Qwen3 14B (Reasoning)
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
Strongest on: Value, Input price, Output price
Best Value
Qwen3 14B (Reasoning)
100.0 value score
52.1 reasoning / $0.73/1M
Lowest Price
Qwen3 14B (Reasoning)
$0.23/1M input price
Best Reasoning
Qwen3 14B (Reasoning)
52.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-4
13.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Qwen3 14B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 14B (Reasoning) is 127.7x cheaper on input tokens than GPT-4.
Speed gap
Qwen3 14B (Reasoning) generates about 1.7x as many tokens per second as GPT-4.
Reasoning gap
Qwen3 14B (Reasoning) leads GPT-4 by 39.3 points on reasoning.
Top-pick rationale
Qwen3 14B (Reasoning) wins 8 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-4
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3 14B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Op GPT-4 | Top Pick Al Qwen3 14B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $30.00/1M | $0.23/1M |
| Output Cost | $60.00/1M | $2.22/1M |
| Blended (3:1) | $37.50/1M | $0.73/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Mar 14, 2023 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | 38.4 tok/s | 65.4 tok/s |
| TTFT | 1168ms | 1136ms |
| Latency | 1168ms | 31719ms |
| Composite Indices | ||
| Value Score | 0.5 | 100.0 |
| Reasoning Score | 12.8 | 52.1 |
| Intelligence | 12.8 | 16.2 |
| Coding | 13.1 | 13.1 |
| Math | — | 55.7 |
| Standard Benchmarks | ||
| GPQA | — | 60.4% |
| MMLU Pro | — | 77.4% |
| HLE | — | 4.3% |
| LiveCodeBench | — | 52.3% |
| MATH 500 | — | 96.1% |
| AIME 2025 | — | 55.7% |
| AIME (Original) | — | 76.3% |
| SciCode | — | 31.6% |
| LCR | — | 0.0% |
| IFBench | — | 40.5% |
| TAU-bench v2 | — | 34.5% |
| TerminalBench Hard | — | 3.8% |
Key Takeaways
Qwen3 14B (Reasoning) offers the best value at $0.23/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3 14B (Reasoning) has the strongest reasoning profile with a 52.1 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-4 reaches a 13.1 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
GPT-4
- Code generation
- Software development
Qwen3 14B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis